Video

Mochi

An open 10B video model with realistic motion. At release it was among the strongest open models; no updates now.

Developer
Genmo, USA
First release
Oct 2024
Latest release
Oct 2024
Sizes
10B
License
Commercial use allowedApache 2.0
Ready-made builds
GGUF
Running
On your own serverNeeds a GPU
Industries
Marketing and content, Media and production
Deploy on your server Hugging Face GitHub

What it does

  • Video from a description
  • Short ad scenes

Where it is used

AdvertisingMedia

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
no versions
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. Mochi 1 preview

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can Mochi be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does Mochi need?

At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Mochi support Russian?

Language does not matter for this model: it does not work with text.

Where can I download Mochi and what does it cost?

The Mochi weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

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Details

Source: huggingface.co/genmo/mochi-1-preview. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.